Senior Data Engineer

Fox CorporationLos Angeles, CA
Hybrid

About The Position

The FOX Data Platform Team is looking for a Senior Data Engineer with a passion for building robust, scalable, efficient, and high-quality Data Engineering solutions to join our Data Engineering team. This is a great opportunity to join a data-first media company and be part of our Enterprise Data Platform team that prides itself in making Fox a data-driven organization. If you enjoy designing and building innovative data engineering solutions using the latest tech stack in a fast-paced environment, this role is for you.

Requirements

  • Solid understanding of data architecture, distributed systems, and database design.
  • Experience in statistical modeling, machine learning, and mathematical problem-solving.
  • Hands-on coding experience with innovative problem solving skills
  • Proficiency in Our Tech Stack: Experience with AWS cloud services (S3, Lambda, Glue, etc.).
  • Solid hands-on experience with Databricks, Redshift, Snowflake, DBT, and Airflow.
  • Expertise in Advanced SQL programming and SQL Performance Tuning
  • Experience with CI/CD using GitHub Actions or Jenkins.
  • Willingness to learn and implement new tools, techniques, and frameworks.
  • A problem-solver who thrives on tackling complex challenges with creativity and scalability.
  • Ability to translate complex technical concepts into business insights for diverse stakeholders.
  • Comfortable working collaboratively in a large, diverse, and dynamic team environment.
  • Regular, on-site attendance at the workplace a minimum of 3 days per week is an essential function of the position. Selected candidate must be able to reliably meet this requirement.

Nice To Haves

  • 7+ years of experience in data engineering, data science, or related fields.
  • Strong programming expertise in Python and SQL.
  • Familiarity with big data technologies and distributed computing frameworks.
  • Prior experience working in large-scale data ecosystems deploying solutions for enterprise environments in a startup or fast-paced environment is a plus.
  • Knowledge of Monte Carlo and Atlan for data observability and cataloging

Responsibilities

  • Design and Scale Data Solutions: Architect and implement robust, scalable data pipelines and workflows to process and manage large-scale datasets.
  • Collaborate on creating innovative data systems that align with evolving business needs.
  • Leverage a Modern Tech Stack: Utilize AWS, Databricks, Redshift, Snowflake, DBT, Airflow, Monte Carlo, and Atlan to build and optimize our data ecosystem.
  • Develop both real-time and batch data solutions to support analytics and operational requirements.
  • Empower Advanced Analytics: Apply statistical modeling and machine learning to solve complex, high-impact business problems.
  • Work closely with data scientists to build and deploy production-grade ML models at scale.
  • Ensure Data Excellence: Guarantee the quality, security, and reliability of data pipelines and platforms.
  • Use tools like Monte Carlo and Atlan to maintain data observability, governance, and trustworthiness.
  • Innovate and Collaborate: Partner with cross-functional teams to translate business challenges into data-driven opportunities.
  • Identify and implement creative, impactful solutions that push boundaries and deliver value.

Benefits

  • medical/dental/vision
  • insurance
  • a 401(k) plan
  • paid time off
  • annual discretionary bonus
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